At SBFC Finance Limited, I support data warehousing and ETL pipelines that move data from Loan Origination and Loan Management systems into AWS Redshift. I also write and optimize SQL for transformations and reporting.
I’m developing a machine learning model to predict NPA and default risk from loan and repayment data, using feature engineering and classification to flag high-risk accounts. I contribute to data quality and pipeline reliability for downstream reporting and analysis.
At Megh 9 Technologies Private Limited, I wrote and tested SQL and PL/SQL scripts and supported debugging and documentation of queries and stored procedures under senior developer guidance.
In a personal project, I built a music recommendation engine using listening history, feature extraction, and similarity techniques; it ranked 3rd at IBM ICE Day. I also built a speech emotion detection model with TensorFlow and Keras, applying Explainable AI.
